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Apex Informatics

Linguist III

Remote Top 3 must-have HARD skills: 1 Native fluency in French/Italian 2 Experience with language ... Computational Linguistics, Speech Science, or related field REQUIRED. • Master's degree in ...

SOSi

Chinese and Cantonese Linguists

Reston, VA · Remote

Linguists will serve as subject matter experts and leverage Chinese and Cantonese and their ... Remote. Working at SOSi All interested individuals will receive consideration and will not be ...

SOSi

Chinese and Cantonese Linguists

Reston, VA · On-site +1

Linguists will serve as subject matter experts and leverage Chinese and Cantonese and their ... Remote. Working at SOSi All interested individuals will receive consideration and will not be ...

Sigma Group

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Experience with one or more of the following: computational linguistics, corpus analysis, language ... remote , performed through an online platform available 24/7. This opportunity is offered for ...

Anika Systems

AI Engineer

Leesburg, VA · On-site +1

This position is currently remote; however, in accordance with federal contract requirements and ... Computational Linguistics, or a related field; Master's is a bonus. * Experience: 1-3years of ...

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How much do remote computational linguist jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for remote computational linguist in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

How does a remote computational linguist typically collaborate with cross-functional teams, and what tools are commonly used for effective communication?

As a remote computational linguist, you’ll often work closely with software engineers, data scientists, and product managers to develop and refine language models or NLP applications. Collaboration usually happens via digital platforms such as Slack, Zoom, and project management tools like Jira or Trello to ensure smooth communication and workflow tracking. Regular virtual meetings and code reviews are standard practices, allowing team members to align on project goals and provide feedback. Adapting to asynchronous communication and being proactive in sharing updates are key to thriving in a remote, cross-functional environment.

What are the key skills and qualifications needed to thrive as a Remote Computational Linguist, and why are they important?

To thrive as a Remote Computational Linguist, you need a strong background in linguistics, computer science, and natural language processing, often supported by an advanced degree in a related field. Familiarity with programming languages like Python, NLP frameworks (such as NLTK or spaCy), and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills, especially for remote collaboration. These skills enable the development of robust language models and tools, facilitating successful teamwork and innovation in distributed environments.

What is a Remote Computational Linguist?

A Remote Computational Linguist is a professional who applies linguistic theory and computational techniques to develop and improve language technologies, such as speech recognition, natural language processing (NLP), and machine translation, while working from a remote location. They analyze language data, create annotated corpora, and design algorithms that help computers understand and generate human language. This role often requires knowledge of linguistics, programming, and data analysis, and involves collaborating with teams across the globe using digital communication tools.
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Computational Linguist with Gen AI experience | Sigma AI

Computational Linguist with Gen AI experience | Sigma AI

Sigma Group

Remote

Contractor

Posted 6 days ago

Job description

Join Sigma.AI - Shaping the Future of Artificial Intelligence
What is Sigma?
Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the United States, and the United Kingdom, and operations in more than 700 languages, we support multinational clients in developing cutting-edge AI solutions.
Soft Skills We Value:
Are you a proactive professional who enjoys challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?
If so, we'd love to hear from you!
Location:
Work from home (locations US: Florida, California, North Carolina); Freelance position.
About the Role:
We're looking for a versatile Computational Linguist to join our R&D team focused on evaluating and supporting Generative and Agentic AI systems. This role combines linguistic expertise, data analysis, and hands-on experimentation with large language models. You'll help design annotation workflows, create and refine guidelines and internal documentation,prototype task-specific evaluation metrics, configure annotation tools, and analyze annotator, model and system performance using real-world data, contributing to papers and articles as needed. The ideal candidate should demonstrate technical leadership in driving complex projects from concept to delivery.
This is a hybrid linguistics + data science role: ideal for someone who can move between qualitative language analysis and quantitative evaluation. You'll work cross-functionally with researchers and annotators to design innovative, rigorous, and scalable evaluation processes for LLM-powered workflows.
Required Qualifications:
  • Master's degree (or equivalent experience) in Computational Linguistics, NLP, Linguistics, or a related field
  • 2+ years of experience in NLP or AI projects (industry or research)
  • At least one year of experience with Gen AI and/or Agentic AI
  • Experience using and fine-tuning transformer-based language models (e.g., BERT)
  • Proficiency in Python programming
  • Proficient with NLP and data science libraries: pandas, numpy, scikit-learn, NLTK
  • Experience with generative AI SDKs and frameworks (e.g., OpenAI, Google, Anthropic, LangChain)
  • Comfortable with Linux environments and Bash scripting
  • Experience working with public datasets (e.g. Hugging Face, Kaggle)
  • Familiarity with LLM behavior, prompt-based evaluation, and generative model outputs
  • Comfortable with structured data formats (JSON, CSV), Jupyter notebooks, and pandas-based analysis
  • Experience using Git for version control and collaborative development
  • Understanding of model evaluation methodologies, including human-AI comparison and red teaming
  • Strong written communication skills for documenting experiments and results
  • Experience working in cross-functional or research-oriented teams
  • Fluent in English
  • Experience designing annotation tasks and workflows

Preferred Qualifications
  • Strong interest in and understanding of current trends and techniques in generative AI
  • Experience with annotation tools (e.g., Label Studio, Prodigy) and quality metrics for human data
  • Experience creating and curating bespoke datasets
  • Familiarity with evaluation challenges in creative or subjective NLP tasks
  • Understanding of linguistic typology, multilingual NLP, or sociolinguistic variation
  • Experience working in WSL environments
  • Experience collaborating with annotation teams and working with QA processes

Important Notes:
Sigma.AI does not hire through third parties. No agents' intermediaries or third parties are authorized to represent benefit from or participate in any way in the relationship. To this effect the Candidate agrees to provide any documentation or information reasonably requested by the Company to verify their identity and credentials. Should the Candidate fail to provide enough evidence of their identity to Sigma's satisfaction, Sigma shall be entitled to withhold or terminate any offer with the Candidate.
The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the tests submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.
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Sigma.AI - Data done right.
Department Data Science, Research & Development (R&D) Locations California, Florida, North Carolina Remote status Fully Remote Employment type Contract

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